remove debug message

.ipynb_checkpoints/README-checkpoint.md

@@ -24,7 +24,7 @@ Chinese METEOR Implementation
 
 ```python
 import evaluate
-meteor = evaluate.load("raptorkwok/chinese_meteor")
+meteor = evaluate.load("raptorkwok/chinesemeteor")
 results = meteor.compute(
     predictions=["我在這裡吃飯"],
     references=["我在這裡吃飯"]

.ipynb_checkpoints/chinesemeteor-checkpoint.py

@@ -136,10 +136,10 @@ class ChineseMETEOR(evaluate.Metric):
         pred_seg = [" ".join(jieba.cut(p.strip())) for p in predictions]
         ref_seg  = [" ".join(jieba.cut(r.strip())) for r in references]
 
-        # --- FORCE Real CWN INTO METEOR ---
+        # --- Apply Real Chinese WordNet into METEOR algorithm ---
         def _cwn_synsets(self, word, pos=None):  # Matches NLTK method call
             if not isinstance(word, str) or not word.strip():
-                print(f"DEBUG: Skipping non-string input: {type(word)}")
+                #print(f"DEBUG: Skipping non-string input: {type(word)}")
                 return []
             cwn = _load_cwn()
             try:
@@ -147,12 +147,12 @@ class ChineseMETEOR(evaluate.Metric):
                 pattern = f"^{re.escape(word)}$"
                 lemmas = cwn.find_lemma(pattern)
             except Exception as e:
-                print(f"DEBUG: Error querying CWN for '{word}': {e}")
+                #print(f"DEBUG: Error querying CWN for '{word}': {e}")
                 return []
-            # FIXED: Use _get_lemma_name for comparison (handles missing .name)
+            
             exact_lemmas = [l for l in lemmas if _get_lemma_name(l) == word]
             if not exact_lemmas:
-                print(f"DEBUG: No exact lemma found for '{word}'")
+                #print(f"DEBUG: No exact lemma found for '{word}'")
                 return []
             synsets_list = []
             seen_synset_ids = set()
@@ -181,13 +181,13 @@ class ChineseMETEOR(evaluate.Metric):
                                             lemma = s.lemma
                                             synset_lemmas.append(lemma)
                                         except AttributeError:
-                                            print(f"DEBUG: Could not extract lemma from sense {s}")
+                                            #print(f"DEBUG: Could not extract lemma from sense {s}")
                                             continue
                                 syn_lemma_names = [_get_lemma_name(l) for l in synset_lemmas]
                             syn_lemmas_set = set(syn_lemma_names)
                             if syn_lemmas_set:
                                 synsets_list.append(_CwnSynset(list(syn_lemmas_set), synset_id))
-            print(f"DEBUG: Found {len(synsets_list)} synsets for '{word}': {synsets_list[0]._lemmas if synsets_list else []}")
+            #print(f"DEBUG: Found {len(synsets_list)} synsets for '{word}': {synsets_list[0]._lemmas if synsets_list else []}")
             return synsets_list
 
         # Use class for proper method binding

README.md

@@ -24,7 +24,7 @@ Chinese METEOR Implementation
 
 ```python
 import evaluate
-meteor = evaluate.load("raptorkwok/chinese_meteor")
+meteor = evaluate.load("raptorkwok/chinesemeteor")
 results = meteor.compute(
     predictions=["我在這裡吃飯"],
     references=["我在這裡吃飯"]

chinesemeteor.py

@@ -136,10 +136,10 @@ class ChineseMETEOR(evaluate.Metric):
         pred_seg = [" ".join(jieba.cut(p.strip())) for p in predictions]
         ref_seg  = [" ".join(jieba.cut(r.strip())) for r in references]
 
-        # --- FORCE Real CWN INTO METEOR ---
+        # --- Apply Real Chinese WordNet into METEOR algorithm ---
         def _cwn_synsets(self, word, pos=None):  # Matches NLTK method call
             if not isinstance(word, str) or not word.strip():
-                print(f"DEBUG: Skipping non-string input: {type(word)}")
+                #print(f"DEBUG: Skipping non-string input: {type(word)}")
                 return []
             cwn = _load_cwn()
             try:
@@ -147,12 +147,12 @@ class ChineseMETEOR(evaluate.Metric):
                 pattern = f"^{re.escape(word)}$"
                 lemmas = cwn.find_lemma(pattern)
             except Exception as e:
-                print(f"DEBUG: Error querying CWN for '{word}': {e}")
+                #print(f"DEBUG: Error querying CWN for '{word}': {e}")
                 return []
-            # FIXED: Use _get_lemma_name for comparison (handles missing .name)
+            
             exact_lemmas = [l for l in lemmas if _get_lemma_name(l) == word]
             if not exact_lemmas:
-                print(f"DEBUG: No exact lemma found for '{word}'")
+                #print(f"DEBUG: No exact lemma found for '{word}'")
                 return []
             synsets_list = []
             seen_synset_ids = set()
@@ -181,13 +181,13 @@ class ChineseMETEOR(evaluate.Metric):
                                             lemma = s.lemma
                                             synset_lemmas.append(lemma)
                                         except AttributeError:
-                                            print(f"DEBUG: Could not extract lemma from sense {s}")
+                                            #print(f"DEBUG: Could not extract lemma from sense {s}")
                                             continue
                                 syn_lemma_names = [_get_lemma_name(l) for l in synset_lemmas]
                             syn_lemmas_set = set(syn_lemma_names)
                             if syn_lemmas_set:
                                 synsets_list.append(_CwnSynset(list(syn_lemmas_set), synset_id))
-            print(f"DEBUG: Found {len(synsets_list)} synsets for '{word}': {synsets_list[0]._lemmas if synsets_list else []}")
+            #print(f"DEBUG: Found {len(synsets_list)} synsets for '{word}': {synsets_list[0]._lemmas if synsets_list else []}")
             return synsets_list
 
         # Use class for proper method binding